Adithya Ramachandran, M. Sc.
Chair of Computer Science 5 (Pattern Recognition)
Research associates
Address
Martensstraße 3
91058 Erlangen
10.138 10
Contact
- Utility Data Processing: GIS data, Smart meter data, SCADA data, Cadastre maps
- Machine Learning & Deep Learning: Forecasting, Anomaly detection, Event detection, Network optimization, Demand clustering, Document digitization, Graph database, LLM agents
2021
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UtilityTwin
(Third Party Funds Group – Overall project)
Project leader: , ,
Term: September 1, 2021 - August 31, 2024
Acronym: UtilityTwin
Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)In the UtilityTwin research project, an intelligent digital twin for any energy or water supply network is to be researched and developed on the basis of adaptive high-resolution sensor data (down to the sub-second range) and machine learning techniques. Overall, the technology concepts BigData and AI are to be combined in an innovative way in this research project in order to make positive contributions to the implementation of the energy transition and to counteract climate change.
2026
Journal Articles
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Early Detection of DMA-Level Leaks in Water Networks Using Robust Regression Ensemble Framework
In: Water 18 (2026), Article No.: 563
ISSN: 2073-4441
DOI: 10.3390/w18050563
BibTeX: Download - , , , , , :
A deep learning framework for heat demand forecasting using time–frequency representations of decomposed features
In: Energy and AI (2026), Article No.: 100704
ISSN: 2666-5468
DOI: 10.1016/j.egyai.2026.100704
BibTeX: Download
2025
Conference Contributions
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Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
The 33rd European Signal Processing Conference (EUSIPCO 2025) (Palermo, Italy, September 8, 2025 - September 12, 2025)
In: Water Demand Forecasting of District Metered Areas through Learned Consumer Representations 2025
URL: https://eusipco2025.org/wp-content/uploads/pdfs/0001842.pdf
BibTeX: Download - , , :
Digitization Framework of Water Utility Documents for Digital Twins
21st International Computing & Control in the Water Industry Conference (Sheffield, United Kingdom, September 1, 2025 - September 3, 2025)
In: Digitization Framework of Water Utility Documents for Digital Twins 2025
BibTeX: Download - , , , :
Link Prediction on Water Distribution Networks using Graph Neural Networks
21st International Computing & Control in the Water Industry Conference (Sheffield, September 1, 2025 - September 3, 2025)
In: Link Prediction on Water Distribution Networks using Graph Neural Networks 2025
Open Access: https://orda.shef.ac.uk/articles/conference_contribution/Link_Prediction_on_Water_Distribution_Networks_using_Graph_Neural_Networks/29920967?backTo=/collections/CCWI_2025_Paper_Repository/7991153
BibTeX: Download
2024
Journal Articles
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Creating a labeled district heating data set: From anomaly detection towards fault detection
In: Energy 313 (2024), Article No.: 134016
ISSN: 0360-5442
DOI: 10.1016/j.energy.2024.134016
BibTeX: Download - , , , :
Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram †
In: Engineering Proceedings 69 (2024), Article No.: 179
ISSN: 2673-4591
DOI: 10.3390/engproc2024069179
BibTeX: Download
Conference Contributions
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Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges
NeurIPS 2024 The Thirty-Eighth Annual Conference on Neural Information Processing Systems (Vancouver, Canada, December 10, 2024 - December 15, 2024)
In: Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges 2024
URL: https://www.climatechange.ai/papers/neurips2024/26
BibTeX: Download - , , , :
A Week Ahead Water Demand Forecasting using Convolutional Neural Network on Multi-Channel Wavelet Scalogram
WDSA CCWI 2024 - 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (University of Ferrara, Ferrara, Italy, July 1, 2024 - July 5, 2024)
BibTeX: Download - , , , :
Unveiling Consumer Behavior in District Heating Network: A Contrastive Learning Approach to Clustering
SESAAU2024 – Smart Energy Systems Conference (Aalborg, Denmark, September 10, 2024 - September 11, 2024)
BibTeX: Download
2022
Conference Contributions
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Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning (Hybrid, December 9, 2022 - December 9, 2022)
In: NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning 2022
Open Access: https://www.climatechange.ai/papers/neurips2022/46
URL: https://www.climatechange.ai/papers/neurips2022/46
BibTeX: Download
No awards found.
Current Theses & Projects
| Title | Type | Student | Period | Status |
|---|---|---|---|---|
| Enhancing explainability of Time Series Forecasting in Smart Infrastructures | MA thesis | Shubham Gupta | Jan 2026 – Jun 2026 | running |